Genomics has seen significant developments over the last few years. Applications derived from it are to be found everywhere: in basic sciences to provide fundamental information on the mechanisms of life, in medicine to improve diagnoses and define personalized therapies, in industry to enable bioprocesses for production, in agronomy to better adapt cultures, and in environmental sciences to explore ecosystems.
Wherever it finds itself, genomics generates enormous amounts of data, which need to be stored, encrypted, analyzed and cross-analyzed. This has created a need for novel methodologies in mathematics, informatics, modeling, simulation, automation and data sciences, all of which must be synergistic with biology disciplines. Therein lies the purpose of computational genomics.
This research sector is expanding rapidly, breaking down walls between biology, mathematics and informatics, and giving birth to entirely new concepts. Computational genomics is a factory where complex, multiform data are transformed into useful tools that improve healthcare, industrial production, farming practices and much more.
On a foundation of solid scientific and technological competencies, a complete computational genomics sector, from basic research to finalized applications, is being built at Genopole, and more largely in Essonne and in France. At the biocluster, the sector benefits from academic bioinformatics (IBISC) and biomathematics (LaMME) labs, multidisciplinary teams (Genoscope, CNRGH, GenHotel), shared use computational platforms (EvryRNA, Micro- Scope), and finally a plethora of businesses developing functional tools for life sciences (Whitelab Genomics, Genosplice Technology, Traaser, IntegraGen, etc.).
